Every student who drops out of university costs that institution £9,000 in lost tuition fee revenue per year the student misses. This equates to millions per university and is a growing problem.

We use predictive analytical softwares to identify students who are most likely to drop out, allowing the university to use a proactive approach to intervening and giving these students the support they need to keep going.